I am Ahmed Elsayed

Student at A.I Delta University,Web Developer,Machine Learning Learner,freelancer,Graphic Designer, Co-leader for BIOCODE DU Club, Data Science Learner, ITI Trainee, Certified Trainee at Zewail City,


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Name: Ahmed Elsayed Sneed

Position: Senior Artificial Intelligence Student

Email: ahmadseneed@gmail.com

Phone: +201224810784 | +201013969029


Technical Skills

About me

I am Ahmed Elsayed Sneed, a Senior Artificial Intelligence student at Delta University for Science and Technology, specializing in applying AI to solve real-world problems. My academic journey, complemented by hands-on internships and specialized training in robotics, business intelligence, and AI applications for healthcare, has equipped me with a deep understanding of AI technologies. I have achieved top placements in numerous AI and tech competitions, including the 3rd Egyptian Junior Researcher Competition, the Smart Governance Hackathon, and the International Scientific and Engineering Innovation Competition (ISEIC-2023). My technical expertise spans various programming languages, frameworks, and tools, such as Python, Java, TensorFlow, and PyTorch, and I have led significant projects like Medicare, an AI-powered electronic health records system, and Egyptian Car Plates Recognition, an advanced license plate recognition system. Additionally, I hold leadership roles in GDSC Delta University and Bio Code DU, and actively engage in cultural and tech events to broaden my perspective and drive my passion for AI forward.

Projects

My projects

Medicare

Medicare: Electronic health records system supported by AI and smart bracelet to follow the vital processes in the body.

Documentation Website:

Medicare is a website that stores all your medical records, medical history, and vitals in one place. We use AI models to predict certain diseases like brain tumor, diabetes, Alzheimer, and pneumonia. You can upload images or enter health data, and the model will provide predictions based on that data. It also has a bracelet that measures patient vitals and records them in real-time on the website for extra accuracy. We also added some data about the person to the smart card to facilitate procedures in critical cases. Our goal is to make it easy for you to manage your healthcare needs.

Egyptian Car Plates Recognition

Egyptian Car Plates Recognition with Yolov8n, EasyOCR, and CNN.

Documentation Website:

This project leverages the power of modern technologies in computer vision and optical character recognition (OCR). The goal of our initiative is to create an intelligent system capable of efficiently recognizing and processing vehicle license plates. By using YOLOv8, an advanced object detection algorithm, Easy-OCR, a powerful optical character recognition tool, and CNN.

VGA

VGA: Create talking videos from 2D images by learning 3D facial movements based on Deep Learning techniques.

Documentation Website:

This project aims to convert static images into dynamic, modern avatars by leveraging state-of-the-art models such as ExpNet and PoseVAE. We aim to produce realistic facial animations that accurately mimic human expressions and movements. This project holds great potential across various applications, including virtual communication, entertainment, and education, by enhancing user interaction through vibrant digital avatars. Our approach incorporates advanced techniques into 3D facial treatment.

Experience

Activities

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Get in Touch

  • Tanta, Egypt
  • +201224810784
  • ahmadseneed@gmail.com